Jindong Gu

20 papers and 101 indexed citations i.

Jindong Gu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Materials Chemistry. According to data from OpenAlex, Jindong Gu has authored 20 papers receiving a total of 101 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 1 paper in Materials Chemistry. Recurrent topics in Jindong Gu’s work include Adversarial Robustness in Machine Learning (8 papers), Advanced Neural Network Applications (8 papers) and Domain Adaptation and Few-Shot Learning (7 papers). Jindong Gu is often cited by papers focused on Adversarial Robustness in Machine Learning (8 papers), Advanced Neural Network Applications (8 papers) and Domain Adaptation and Few-Shot Learning (7 papers). Jindong Gu collaborates with scholars based in United Kingdom, Germany and China. Jindong Gu's co-authors include Volker Tresp, Han Hu, Denis Krompaß, Yang Bai, Shu‐Tao Xia, Sahand Sharifzadeh, Yao Zhang, Yinchong Yang, Zhiliang Wu and Ranjie Duan and has published in prestigious journals such as IEEE Transactions on Information Forensics and Security, ACM Transactions on Knowledge Discovery from Data and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).